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PLoS Computational Biology

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期刊名稱:   ISSN:   主題領域:   影響因子範圍: -
索引:   類別:   開放訪問:   排序方式:

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期刊簡介
期刊名稱PLoS Computational Biology PLoS Computational Biology
LetPub Score
7.3
50 ratings
Rate

Reputation
8.2

Influence
6.6

Speed
7.0

期刊簡稱PLOS COMPUT BIOL
ISSN1553-7358
h-index138
CiteScore
CiteScoreSJRSNIPCiteScore Rank
7.101.6521.085
Subject fieldQuartilesRankPercentile
Category: Mathematics
Subcategory: Modeling and Simulation
Q132 / 324
Category: Mathematics
Subcategory: Ecology, Evolution, Behavior and Systematics
Q187 / 721
Category: Mathematics
Subcategory: Computational Theory and Mathematics
Q123 / 176
Category: Mathematics
Subcategory: Ecology
Q163 / 461
Category: Mathematics
Subcategory: Genetics
Q297 / 347
Category: Mathematics
Subcategory: Cellular and Molecular Neuroscience
Q234 / 97
Category: Mathematics
Subcategory: Molecular Biology
Q2163 / 410

自引率 (2023-2024)5.30%自引率趨勢
掲載範囲
PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.

Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines.

Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights.

Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology.

Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
官方網站http://journals.plos.org/ploscompbiol/
在線稿件提交https://www.editorialmanager.com/PCOMPBIOL
開放訪問Yes
出版商Public Library of Science
主題領域BIOCHEMICAL RESEARCH METHODS
出版國/地區UNITED STATES
發行頻率
創刊年0
每年文章數637每年文章數趨勢
黃金OA百分比99.67%
OA Related Info
APC: Yes( USD2926; )
APC waiver:Check Notes
Other charges: No
Keywords: computational biology、biological systems、biological modelling
Useful LinksAims & ScopeAuthor InstructionsEditorial BoardPeer review
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
BIOCHEMICAL RESEARCH METHODSSCIEQ115/85
MATHEMATICAL & COMPUTATIONAL BIOLOGYSCIEQ111/65
索引 (SCI or SCIE)Science Citation Index Expanded
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1553-7358%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: Very fast, 2-3 Week(s)
競爭力 *來自作者的數據:
參考鏈接
相關期刊 【PLoS Computational Biology】CiteScore趨勢
自引率趨勢 每年文章數趨勢
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*所有的審稿過程指標,如接受率和審稿速度,僅限於用戶提交的稿件。因此,這些指標可能無法準確反映期刊的競爭力或速度。
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    學科內的可信期刊 影響因子
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    CiteScore: 28.90
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  •  

    PLoS Computational Biology PLoS Computational Biology
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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